resolume_ping
Check if Resolume is running by calling the product endpoint.
This record as markdown: /tools/hybridlabor-api-aos/resolume-ping.md
What resolume_ping does on Aos
AI agents use resolume_ping to create or update resources in Aos, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Aos environment.
Why resolume_ping is rated Medium
An AI agent can call resolume_ping faster than any human can review: one bad instruction and it creates or modifies resources in Aos by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs resolume_ping safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For resolume_ping, this is the rule to start with:
resolume_ping stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Aos, apply this rule, and every resolume_ping call is checked against it from then on.
Questions about resolume_ping
Check if Resolume is running by calling the product endpoint. It is categorised as a Write tool in the Aos MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Aos MCP server in PolicyLayer and add a rule for resolume_ping: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Aos. Nothing to install.
resolume_ping is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the resolume_ping rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for resolume_ping. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
resolume_ping is provided by the Aos MCP server (@hybridlabor-api/aos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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